{"as_of":"2026-08-13T11:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3501a28ff8d2f8cea787c9f07042b0c0aad22106a701a8c919661192a03249f8","coverage":[{"denominator":89,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":89,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:17:41.723374Z","state":"measured"},{"denominator":90,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":90,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T23:31:40.691896Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T23:34:26.600350Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"cited_work":{"arxiv_id":"2411.19417","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.19417","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e5b8cf28-f641-4de3-8ae0-0623a5dd1282","year":2024},"citing_paper":{"arxiv_id":"2507.10236","last_updated":"2026-05-15T17:35:28Z","snapshot_observed_at":"2026-08-12T06:35:24.581789Z","submitted_at":"2025-07-14T12:56:55Z","title":"Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T23:31:40.691896Z"},"links":{"cited_paper":"/paper/2411.19417","citing_paper":"/paper/2507.10236"},"observation_digest":"sha256:6d3d21c1dd7266bceb1ddef172b9c611bcb15b8a97ff3bc7c68c69d2ff49e8a1","observation_id":"88fb25a7-cf27-4927-80ea-2058844be256","resolution":{"observed_at":"2026-05-21T23:34:26.602053Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.19417/citation-record","integrity":"/paper/2411.19417/integrity","json":"/paper/2411.19417/citation-record.json","paper":"/paper/2411.19417"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.283551Z","title":"Synthbuster: Towards detection of diffu- sion model generated images","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.283551Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:6ab4703b75cd97e198ddf0120a0c29a09533eb702e2265d64be6de8942902432","observation_id":"30057380-c894-4d56-9bfc-a27842c16345","resolution":{"observed_at":"2026-08-12T10:17:41.283551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.289714Z","title":"Improving image generation with better captions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.289714Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:8dd883f0dda8127c03eae6d6925bfd276ccce26b522be20be6e1d7c37f554f9b","observation_id":"715530c1-f99c-4291-8bd7-388af987d1e7","resolution":{"observed_at":"2026-08-12T10:17:41.289714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.294940Z","title":"A geometric and photo- metric exploration of gan and diffusion synthesized faces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.294940Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:e1e5971d1a94711080c83c7cecf815362687135fcd0877d8a7cccef9ab7d9ad6","observation_id":"be1bcb63-85ec-4725-8982-40a41824cd70","resolution":{"observed_at":"2026-08-12T10:17:41.294940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.300231Z","title":"Controllable generation with text-to-image diffusion models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.300231Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:7359171da20b5fea1667ed2edf44fca996864d6f4cfb2144d2545f7f45c7812f","observation_id":"29dad06f-35ce-49b9-b8ad-68876c845ed2","resolution":{"observed_at":"2026-08-12T10:17:41.300231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.305598Z","title":"Fakeinversion: Learning to detect images from un- seen text-to-image models by inverting stable diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.305598Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:06bf3f4811be9067fef5107810d75dae04ac9bec8ca6748648569b8deb282a32","observation_id":"0743ab30-96fc-4c65-bd19-dcf6273ce374","resolution":{"observed_at":"2026-08-12T10:17:41.305598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.311257Z","title":"Stargan: Unified genera- tive adversarial networks for multi-domain image-to-image translation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.311257Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:f133a8d7a029895ae4921fc3b8dfddddb385c5d107f095b64e48ae95bc02b61f","observation_id":"4e815632-ac46-48fe-b940-b417e917fa07","resolution":{"observed_at":"2026-08-12T10:17:41.311257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.316564Z","title":"On the detection of synthetic images generated by diffusion mod- els","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.316564Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:0ac62825f07ad3e0405f287d57b8770741c2fd4938139da192309788e268b6cf","observation_id":"078872e5-acb1-440f-b90c-99e844455b91","resolution":{"observed_at":"2026-08-12T10:17:41.316564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.322255Z","title":"Raising the bar of ai-generated image detection with clip","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.322255Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:c8d9b388ea67cbc717f6a1df238fa9fe0e6b01fa7078897c0ee606046c6e0649","observation_id":"180b3b7d-6228-4740-99b0-551934f9b4e2","resolution":{"observed_at":"2026-08-12T10:17:41.322255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.327366Z","title":"Zero-shot detection of ai-generated images","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.327366Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:0c236fe122a542df450536eda4a3da9bbdeead22b12a5378cbb7ce5014bdc57e","observation_id":"41ccce39-af9a-4bb8-9abb-21633e83760c","resolution":{"observed_at":"2026-08-12T10:17:41.327366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.332612Z","title":"Diffusion models in vision: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.332612Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:7adb2038865bf727408e3845167dafe3fd9cc4586ab4871287822c0d2465ecf2","observation_id":"c9f7fc58-8abe-49d5-8999-e94a21b8961e","resolution":{"observed_at":"2026-08-12T10:17:41.332612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:43.048080Z","title":"Raise: A raw images dataset for digital image forensics","venue":null,"work_id":"587b8bce-513b-4e30-9829-f40a73512f38","year":2015},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.337718Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:f74ff921ed5c3447762667d82e9aed47b63b9f271ac22cc11eb151a6b5c1c3ea","observation_id":"52f50b8c-7e62-49fc-81c5-68d04fad9e64","resolution":{"observed_at":"2026-08-12T10:17:43.053616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:43.034593Z","title":"Flashattention: Fast and memory-efficient exact at- tention with io-awareness","venue":null,"work_id":"78b28be0-9c1e-4572-9a1d-e369442456ed","year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.341782Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:0ad8a8b3787c6028e6a7bab4411666a08df404d7abf0f029ec579bce9051e389","observation_id":"d8f1b084-cda8-409d-b62a-b3869822e21c","resolution":{"observed_at":"2026-08-12T10:17:43.038847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:43.019675Z","title":"A re- view on generative adversarial networks for image genera- tion","venue":null,"work_id":"1737f8b6-5ff0-40ae-ba6a-b68afb773152","year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.346326Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:0685c0c0421a2a49f43b3f73ae1db12a2e1453faf548408962d4773b227e9f8f","observation_id":"051c50b4-c564-47e4-a726-860b96cdf5a6","resolution":{"observed_at":"2026-08-12T10:17:43.023816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:43.006712Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"b2be42c3-3b1b-4473-a5e6-2df4e9e43b20","year":2009},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.351110Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:c06f6ce9c68bcb4dcef324355498d447d06b6c6247f4e36f77aa33b2d7810983","observation_id":"d6595ea6-0f75-4d96-a15e-f8295cc7fe5f","resolution":{"observed_at":"2026-08-12T10:17:43.010682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.991095Z","title":"Fre- quency masking for universal deepfake detection","venue":null,"work_id":"640ddd5e-7148-4f8a-b34a-16592deefc9b","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.355802Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:5330dd860e9de3fdbca1c2592733d3d7328bed5f4bbfb1ff4a80694fab70efaa","observation_id":"475c7e56-c7f8-4c32-a052-06f2a446b904","resolution":{"observed_at":"2026-08-12T10:17:42.997103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T02:40:23.887636Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-12T10:17:41.360489Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.360489Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:df8b1f8f3844283cbce5cbce8125401596aed7ea02670f59d8bec3e33f716019","observation_id":"fe6c5500-09c1-4821-ab9d-0313930974d8","resolution":{"observed_at":"2026-08-12T10:17:41.360489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11697","last_updated":"2024-05-21T15:35:26Z","snapshot_observed_at":"2026-08-13T00:04:10.247114Z","submitted_at":"2024-05-19T23:05:53Z","title":"AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11697","snapshot_observed_at":"2026-08-12T10:17:41.365291Z","title":"Ammeba: A large-scale survey and dataset of media-based misinformation in-the-wild","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.365291Z"},"links":{"cited_paper":"/paper/2405.11697","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:9c24b3575f4b3e649d53f1ab8e5cfa9e908a7fff47b729b510c263c708cb2944","observation_id":"142f9fc8-1e17-46ba-b755-0aee961987bf","resolution":{"observed_at":"2026-08-12T10:17:41.365291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.975811Z","title":"Watch your up-convolution: Cnn based generative deep neural net- works are failing to reproduce spectral distributions","venue":null,"work_id":"8290a63e-bcad-4583-ae20-ee3cdde98e48","year":2020},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.370389Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:f48e938b637a256f166794413c7d35a9995111bba96783390686ae45b215a38a","observation_id":"3500875e-4cb5-4bd6-abe5-8fb23c252d55","resolution":{"observed_at":"2026-08-12T10:17:42.981215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.961083Z","title":"Image generation: A review","venue":null,"work_id":"4aafd17c-a5fc-478d-a1e1-e874b73b1f1c","year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.375081Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:cb652cef4429c2616cda6e456821b55c79ecc6992b39ebac552962b1864419dd","observation_id":"2293f358-8977-429a-b758-8a890743773a","resolution":{"observed_at":"2026-08-12T10:17:42.965550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.945288Z","title":"Scaling recti- fied flow transformers for high-resolution image synthesis","venue":null,"work_id":"cce50f02-006e-43ad-a2fd-e77edeb60e2e","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.378999Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:bcbbc98e4224db6838a679d06487a4e00f07f529e3b8091ec84c1eb0342dd048","observation_id":"69c8b2fb-e072-4ae2-aec5-0093297d2bc8","resolution":{"observed_at":"2026-08-12T10:17:42.950248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.13744","last_updated":"2022-07-30T23:50:13Z","snapshot_observed_at":"2026-07-06T13:36:06.763541Z","submitted_at":"2022-07-27T18:48:36Z","title":"Lighting (In)consistency of Paint by Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.13744","snapshot_observed_at":"2026-08-12T10:17:41.383154Z","title":"Lighting (in) consistency of paint by text","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.383154Z"},"links":{"cited_paper":"/paper/2207.13744","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:627a3fa542bc2d0a4850dda255271fd41b30529744253b0e85d35de6d8fe9e88","observation_id":"8562a287-8582-425e-853d-278c52bec1ab","resolution":{"observed_at":"2026-08-12T10:17:41.383154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14617","last_updated":"2022-06-27T19:52:33Z","snapshot_observed_at":"2026-08-09T18:53:55.308432Z","submitted_at":"2022-06-27T19:52:33Z","title":"Perspective (In)consistency of Paint by Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14617","snapshot_observed_at":"2026-08-12T10:17:41.388164Z","title":"Perspective (in) consistency of paint by text","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.388164Z"},"links":{"cited_paper":"/paper/2206.14617","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:d610946f75268e6ca713bfeaaaac242563528ad395e64f72d36c10eaeaa5e399","observation_id":"4a68a2b6-0eb5-43d0-b93c-710e9251a44d","resolution":{"observed_at":"2026-08-12T10:17:41.388164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.930129Z","title":"Computer vision: a mod- ern approach","venue":null,"work_id":"58612271-5f4b-4a43-90be-cb2ee2ef7454","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.394415Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:5fe0cfa7b01621c90d058342458d848b153b5e54605666e7ec3fde9c57e5e5a4","observation_id":"44fdf6c7-05fe-4de2-bfae-a1e94be9dbbb","resolution":{"observed_at":"2026-08-12T10:17:42.934811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.914933Z","title":"Leveraging fre- quency analysis for deep fake image recognition","venue":null,"work_id":"b21cd98a-f975-42f4-86da-9ba6c4ada654","year":2020},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.399194Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:9ce0665f44dc10e08a02f359786340fabd8a1db34a6e6be31946e49f78180c17","observation_id":"c26258cb-bf99-4f7b-8f84-ef6a2367c27b","resolution":{"observed_at":"2026-08-12T10:17:42.920299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.898888Z","title":"Huggingface: Geroldmeisinger / laion2b- en-a65 cogvlm2-4bit captions, 2024","venue":null,"work_id":"198eaa1a-7e92-4291-a177-350d47eeaa1c","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.404388Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:27174f88eb1045afe086a3cce42cbf3360c4c7d8720f42d186113bd231bc065d","observation_id":"6d884114-7289-4fcb-9aa4-a8c3e64e1731","resolution":{"observed_at":"2026-08-12T10:17:42.903452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.883352Z","title":"Generative adversarial nets","venue":null,"work_id":"4862f20b-f931-4834-bc63-fdafee060400","year":2014},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.408978Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:c123cb15a1e73e1cd9e3418c9a59858e559f514c8a28b0063e57a09ed5221172","observation_id":"4b0f3306-b6b8-474b-a3ba-c7d0d514ee2d","resolution":{"observed_at":"2026-08-12T10:17:42.888494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.414153Z","title":"Generative adversarial networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.414153Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:9953114501957dd7d43297ee4a0d3c2227a80eecff0c86cd41798fc69007dea6","observation_id":"e711bc1b-6310-4b8c-9366-8967af524c7d","resolution":{"observed_at":"2026-08-12T10:17:41.414153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.858143Z","title":"Draw: A recurrent neural network for image generation","venue":null,"work_id":"c08adbef-495a-4023-8f23-f297baa61a39","year":2015},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.418424Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:780108c352e15aad88360171c830e0303644ee61b0d23949ff86ac744c667643","observation_id":"ee3c71ee-7d1a-4a03-82da-1f68759d604d","resolution":{"observed_at":"2026-08-12T10:17:42.862994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.423296Z","title":"Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.423296Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:45add47cf69138345263ecb278c4a0d4a9f82ad94ca7ec90eb5e548cc8b6ceff","observation_id":"bb12e4a1-6704-4532-8857-9b1e17963ceb","resolution":{"observed_at":"2026-08-12T10:17:41.423296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.833587Z","title":"The forchheim im- age database for camera identification in the wild","venue":null,"work_id":"0f15195b-1e42-4acd-b9ff-6b7d05e775cf","year":2021},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.428501Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:8455d038948caca317ed80ce6bf595fca25f0ef22fc39928373a17516dfb7a96","observation_id":"04c87d0b-1420-4105-aa4f-d2e04f092fc8","resolution":{"observed_at":"2026-08-12T10:17:42.838718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20112","last_updated":"2024-05-30T14:49:54Z","snapshot_observed_at":"2026-08-12T23:54:07.136536Z","submitted_at":"2024-05-30T14:49:54Z","title":"RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20112","snapshot_observed_at":"2026-08-12T10:17:41.434022Z","title":"Rigid: A training-free and model-agnostic framework for ro- bust ai-generated image detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.434022Z"},"links":{"cited_paper":"/paper/2405.20112","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:dbb96550171d338569c6235dd4ce34944bd5268ccc959cfa9f1a1f8602a5ccce","observation_id":"777c91ac-d90a-458c-af53-369ab441a817","resolution":{"observed_at":"2026-08-12T10:17:41.434022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-07-06T05:01:27.910364Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-12T10:17:41.439373Z","title":"Gaussian error linear units (gelus)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.439373Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:9601657c9d6fa4f4e93d9d497e46e65a2cc8906309c673ba61852dd630ab4aeb","observation_id":"a7d8d41a-76b8-4763-ad75-f5a238ea84b0","resolution":{"observed_at":"2026-08-12T10:17:41.439373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.444301Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.444301Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:0b26d920f511fdf9cfc204a12641a8de6796a1871f2bd9c636ea5da4e191ce86","observation_id":"58cf9319-d1e0-4aa1-8d43-6f639eaa8d47","resolution":{"observed_at":"2026-08-12T10:17:41.444301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-12T10:17:41.448738Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.448738Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:a888581511f69aec73cee22c84f2d5f0db6c9439347fd46e1067e4688ad981ef","observation_id":"55aed45d-54a6-4ad1-be46-0cb9ab89d147","resolution":{"observed_at":"2026-08-12T10:17:41.448738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.809071Z","title":"Fusing global and local features for gen- eralized ai-synthesized image detection","venue":null,"work_id":"26d8b1e8-3ba0-4fcb-9bb0-91fac6429389","year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.453858Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:8f971017389f177b4ab9171c3e77bc57a326d10e84193a67e8e6522ed6632e58","observation_id":"9865b174-aa53-4c6e-afcf-09843150508c","resolution":{"observed_at":"2026-08-12T10:17:42.814832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.792156Z","title":"Scal- ing up gans for text-to-image synthesis","venue":null,"work_id":"b48030cd-4b77-4d7a-aebe-5c8922da979e","year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.459612Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:d35512fff190340f686c73d3ed4c03dbc25bf3dd57201e50f42b4ac4cbf01833","observation_id":"39395251-3e23-418b-97f8-e6c01a066ee7","resolution":{"observed_at":"2026-08-12T10:17:42.797626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11541","last_updated":"2024-08-21T11:40:40Z","snapshot_observed_at":"2026-08-12T23:00:03.439965Z","submitted_at":"2024-08-21T11:40:40Z","title":"Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11541","snapshot_observed_at":"2026-08-12T10:17:41.464540Z","title":"Evolution of detection performance through- out the online lifespan of synthetic images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.464540Z"},"links":{"cited_paper":"/paper/2408.11541","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:c22ae1c4793c29703bd7456a2a5d71c3a9ea4b43e802a783838cff1950edda8d","observation_id":"4a8f0e5e-6631-4326-8062-fc249c79e81b","resolution":{"observed_at":"2026-08-12T10:17:41.464540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03941","last_updated":"2024-10-04T21:57:11Z","snapshot_observed_at":"2026-08-12T22:30:22.234082Z","submitted_at":"2024-10-04T21:57:11Z","title":"AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03941","snapshot_observed_at":"2026-08-12T10:17:41.469045Z","title":"Autolora: Autoguid- ance meets low-rank adaptation for diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.469045Z"},"links":{"cited_paper":"/paper/2410.03941","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:2060320126ad3c6ac14e043872d1d2df6f483f8ae267f9749a45fdc38f549335","observation_id":"7c23c8cd-3d33-4e10-be39-db5d167898ab","resolution":{"observed_at":"2026-08-12T10:17:41.469045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15500","last_updated":"2025-01-16T10:20:32Z","snapshot_observed_at":"2026-08-12T23:17:27.821327Z","submitted_at":"2024-07-22T09:31:30Z","title":"TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15500","snapshot_observed_at":"2026-08-12T10:17:41.474026Z","title":"Texturecrop: Enhancing synthetic image de- tection through texture-based cropping","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.474026Z"},"links":{"cited_paper":"/paper/2407.15500","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:5889072ff9f3a965d44557915e28d9dec93ae5940cd6f05b9a33a12df472f6aa","observation_id":"97b50a94-a707-4ff2-bbe7-e5954032e451","resolution":{"observed_at":"2026-08-12T10:17:41.474026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.775054Z","title":"Leveraging rep- resentations from intermediate encoder-blocks for synthetic image detection","venue":null,"work_id":"052fa436-99ba-48bc-82a8-d27fc43d3277","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.478829Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:382901cb3c1409735cd0832b0a68c1f6a510d9719faf878dd15c6dcfb5bccba7","observation_id":"d0c7e855-e54f-4967-8bf7-631133057ace","resolution":{"observed_at":"2026-08-12T10:17:42.780750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.759504Z","title":"Towards explain- ing image-based distribution shifts","venue":null,"work_id":"9292a985-0039-43d2-95fd-984c722b5465","year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.483324Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:ac55860487021443308ad3b201ea4d40877aba30bf83284cb1a71994048e14d1","observation_id":"cbcc167b-1ce4-4610-aec0-13d001ca47a7","resolution":{"observed_at":"2026-08-12T10:17:42.764946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.743607Z","title":"The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale","venue":null,"work_id":"c26ff8bc-41c1-4ae4-a66d-191d423d44ca","year":1956},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.488613Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:70f294af3ddd0e762d89890746aa39599ab9f554edf4913604fefc77cba0b778","observation_id":"71d44687-83e4-4375-b2fc-641a0559e0e1","resolution":{"observed_at":"2026-08-12T10:17:42.748450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.727641Z","title":"Civitai: Dataset with 6000+ flux.1 dev images,","venue":null,"work_id":"689744ac-e9f1-4c46-947f-c961dc61d7db","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.494761Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:9052c88c6044ec0dd7ffcfdb077f6221631e2ea39b6ce98718021a7dda14620b","observation_id":"e3840d26-8428-4e4c-84ac-81663ee3ffe8","resolution":{"observed_at":"2026-08-12T10:17:42.732718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.504300Z","title":"Layer normalization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.504300Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:e29b4aacd4566e3c45817985b6352a2fdce0112ce519843a17a099fe5e7008b6","observation_id":"b501e22f-39e4-4a23-99e2-936a94705608","resolution":{"observed_at":"2026-08-12T10:17:41.504300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19360","last_updated":"2024-10-11T06:52:18Z","snapshot_observed_at":"2026-08-12T23:59:04.398421Z","submitted_at":"2024-05-24T07:44:27Z","title":"ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19360","snapshot_observed_at":"2026-08-12T10:17:41.509265Z","title":"Art: Automatic red-teaming for text- to-image models to protect benign users","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.509265Z"},"links":{"cited_paper":"/paper/2405.19360","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:eb6d5aa19a5c4bd2d4b64ccf02995fb0c0e2d5ad0e3a9185e9835550e1be5915","observation_id":"c7b15a4d-440a-43b3-af1d-ea1ef14b9134","resolution":{"observed_at":"2026-08-12T10:17:41.509265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.685320Z","title":"Masksim: Detection of syn- thetic images by masked spectrum similarity analysis","venue":null,"work_id":"c13b2e12-69a7-41c7-ad8a-4393ba9909c2","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.513616Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:dc2a3fa8793662d379521d4e291e3fe91b5cafac4d7a7dec2db79fd676a92218","observation_id":"d820bec3-06b7-4c20-8bf9-f9b229671f3a","resolution":{"observed_at":"2026-08-12T10:17:42.690286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00045","last_updated":"2025-07-26T02:37:03Z","snapshot_observed_at":"2026-08-13T04:37:43.199286Z","submitted_at":"2024-01-22T15:08:19Z","title":"Detecting Multimedia Generated by Large AI Models: A Survey","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00045","snapshot_observed_at":"2026-08-12T10:17:41.519378Z","title":"Detecting multimedia generated by large ai models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.519378Z"},"links":{"cited_paper":"/paper/2402.00045","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:ffca740f9b65876f93b36eb28054fff117156f759c099b934490ace7b51df38d","observation_id":"d4551b2e-e00b-402f-b490-9c09343a1522","resolution":{"observed_at":"2026-08-12T10:17:41.519378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.669655Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"472c099b-35ce-44fa-b879-126096d8ab0c","year":2014},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.524225Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:2f1bcdf31f5eb1da7dcf0317411cb9afc5a9bae8878dcb3258f96092144df563","observation_id":"48b40e7d-2aa2-446c-8411-2efa54bda67b","resolution":{"observed_at":"2026-08-12T10:17:42.674182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.653684Z","title":"Global tex- ture enhancement for fake face detection in the wild","venue":null,"work_id":"3428f9f2-676f-46c7-873a-5933cd271911","year":2020},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.529297Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:7e83fff5b030b77b63e4c50d8cf6fe40fecc7aded3da61d439b379f0a0ac06fe","observation_id":"91791ad2-987f-4ed8-ac82-ced8cbd1a0ed","resolution":{"observed_at":"2026-08-12T10:17:42.658779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-12T10:17:41.533939Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.533939Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:69b1b5189716d2ab3934c47522bbce63b71aee9c24a2c249bbf374e62870faaf","observation_id":"d4e73ce0-8098-4a6a-a9c4-7a34bcdf27f8","resolution":{"observed_at":"2026-08-12T10:17:41.533939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.636363Z","title":"Misalignment-robust frequency distribution loss for image transformation","venue":null,"work_id":"1cb810b0-c77e-4d7a-9455-1b795ca5d568","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.538323Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:6b6d74e33783b749fbac5fd6f65bf4e48c4ee95c66cbb47819f7ec74cbdb5939","observation_id":"6de292ab-db2f-40af-a277-3201c8644079","resolution":{"observed_at":"2026-08-12T10:17:42.641825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10741","snapshot_observed_at":"2026-08-12T10:17:41.543134Z","title":"Glide: Towards photorealistic image generation and editing with text-guided diffusion models.arXiv preprint arXiv:2112.10741, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.543134Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:fa94017fcae299752bce1b2c95a449f46505c336a991958dd9d884ac3cab3419","observation_id":"5f3e13ac-6903-4944-a74e-4c5743c5710e","resolution":{"observed_at":"2026-08-12T10:17:41.543134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.619967Z","title":"Towards uni- versal fake image detectors that generalize across genera- tive models","venue":null,"work_id":"7a3cb961-0c70-41e5-b0a8-93b9529dbce9","year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.548371Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:40eba65ceba95c4716a5b94da9a9e544e7a93b5ad2ea74a46604789de63888bf","observation_id":"fe5a6c97-41be-4417-a880-0d4e6151886d","resolution":{"observed_at":"2026-08-12T10:17:42.625712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-11T10:12:11.384939Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-12T10:17:41.552848Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.552848Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:c5778f59231b66238852aa2f0146e566109e537d0e36e5a52d4e1d323c55a4de","observation_id":"11a7e489-1842-46c5-aa1b-8f299cad81ad","resolution":{"observed_at":"2026-08-12T10:17:41.552848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.558560Z","title":"Semantic image synthesis with spatially-adaptive nor- malization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.558560Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:b9b0bcd5acbc5bb14211011cfcd4db56baeca2719ac05cf3b1cab039ad781c91","observation_id":"d635ed97-2f4e-4764-895a-852c7bd8f75e","resolution":{"observed_at":"2026-08-12T10:17:41.558560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-12T10:17:41.562922Z","title":"Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.562922Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:47bb46fc2a598a8a554db87394201cbf48860357dfe24fcebe6602fc83735607","observation_id":"2e83852d-aed2-4ee4-b19f-6bb1ecef4b87","resolution":{"observed_at":"2026-08-12T10:17:41.562922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.592347Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":"859c0acd-e798-4e2c-9654-fdb4440f44ce","year":2021},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.567636Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:f98554eed0b5f81a2e566e24e5ee4f351c9ac1609164260c5064ee2d17375dfe","observation_id":"23f202ae-a57a-4999-8c8f-1ee6d72fb38e","resolution":{"observed_at":"2026-08-12T10:17:42.598681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-12T10:17:41.572202Z","title":"Hierarchical text-conditional image gener- ation with clip latents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.572202Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:8d8c39c7595649d35c7d07a039121ec4d3d3e1cb3bb1c16ae5e793055708ed96","observation_id":"33ed92a0-591a-4328-bf46-953782f5b885","resolution":{"observed_at":"2026-08-12T10:17:41.572202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.575374Z","title":"Aer- oblade: Training-free detection of latent diffusion images using autoencoder reconstruction error","venue":null,"work_id":"463e2f2c-2c02-4ed4-b387-09d4483357ca","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.578298Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:cd465c1c456a8dc016a62cb17697666425fd1d9e3a5de60e48b1c24423e25544","observation_id":"b0cee30f-34c2-43f4-9fd0-328caec63404","resolution":{"observed_at":"2026-08-12T10:17:42.580101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.559162Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"6eee2a6c-17d2-4f9f-a518-58e9a5cc1f9e","year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.582904Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:4ba3af612d47bba0cf3ca22c32ed119099bc00665606847e0de87c127b2a5641","observation_id":"77a4aaa5-3e56-4256-8f95-91b8c3a7d302","resolution":{"observed_at":"2026-08-12T10:17:42.564733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.542234Z","title":"Huggingface: saq1b/midjourney-v6.1, 2024","venue":null,"work_id":"cc6407c9-deb8-47ed-be76-01ed6466c5a3","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.588735Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:44b26fa5de414f9d58bb2292ecec9f937b508827520948e2d17f92ee4aa580ec","observation_id":"84fdb780-f06a-4a31-abfb-70d62ef0fc6f","resolution":{"observed_at":"2026-08-12T10:17:42.547669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.526505Z","title":"Shad- ows don’t lie and lines can’t bend! generative models don’t know projective geometry","venue":null,"work_id":"cc9f3f25-0ef7-439f-9715-910f8cfbe9b6","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.593480Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:63404839fe81324f6fd964f42f29339ce43513d0d12b0e43d9e66d33827aa0b6","observation_id":"5c54353e-cd88-49e2-9f75-0c991b6cede9","resolution":{"observed_at":"2026-08-12T10:17:42.531375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18552","last_updated":"2024-04-29T09:50:16Z","snapshot_observed_at":"2026-08-13T00:19:37.794612Z","submitted_at":"2024-04-29T09:50:16Z","title":"SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18552","snapshot_observed_at":"2026-08-12T10:17:41.598321Z","title":"Sidbench: A python framework for reliably assessing synthetic image de- tection methods","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.598321Z"},"links":{"cited_paper":"/paper/2404.18552","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:8747147a7db3b0a8902badbc1e4a3620ee0ea63fe0ca92d970e3d76d7163d764","observation_id":"205c3e1c-51c0-4f12-b8e7-6e047627b3b0","resolution":{"observed_at":"2026-08-12T10:17:41.598321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.508502Z","title":"De-fake: Detection and attribution of fake images generated by text- to-image generation models","venue":null,"work_id":"ead887aa-d5a7-48e4-8ea1-4f48a990e3ba","year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.603167Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:414a50a7fcdeb90eca3d07469af3257a0367598b567a892be8a0183f7cf610e2","observation_id":"fd862682-cdfb-4b48-a68a-efd56a05f129","resolution":{"observed_at":"2026-08-12T10:17:42.514008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.608093Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.608093Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:cb8261b349078399413fc39dbf4f3328527f03482721217b33dd3ad82ad10222","observation_id":"78fdb727-0b4e-4788-9489-9314ed09e21b","resolution":{"observed_at":"2026-08-12T10:17:41.608093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.482305Z","title":"Learning on gradients: Generalized arti- facts representation for gan-generated images detection","venue":null,"work_id":"ce5d016c-911d-4e4a-96c3-3948edd41d5b","year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.612530Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:5b35516bf9cbdec2f3490665b79585ac30b63ebc53ddbfb8762176c3da0922d6","observation_id":"02ed5bc6-3599-447b-9def-35e3063f91c9","resolution":{"observed_at":"2026-08-12T10:17:42.487595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.465550Z","title":"Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection","venue":null,"work_id":"948252fd-440b-4376-a11d-3bd701d35df5","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.617501Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:871be875ce5f750f818f47a577c439b886339edfa91c4da5de84efe2314657db","observation_id":"4954434b-6d61-443f-a83f-070019b69d21","resolution":{"observed_at":"2026-08-12T10:17:42.470428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.05865","last_updated":"2022-10-15T03:51:50Z","snapshot_observed_at":"2026-07-06T09:46:54.764203Z","submitted_at":"2020-08-13T12:51:17Z","title":"DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.05865","snapshot_observed_at":"2026-08-12T10:17:41.622531Z","title":"Df-gan: Deep fusion gener- ative adversarial networks for text-to-image synthesis","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.622531Z"},"links":{"cited_paper":"/paper/2008.05865","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:96948da8011e0bd2efdc343e905e7483c21962013deb92f901a1e7a3a15dfd65","observation_id":"1b26e856-1ea2-45ad-9fe5-9da189fabaca","resolution":{"observed_at":"2026-08-12T10:17:41.622531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00196","last_updated":"2024-04-30T20:59:53Z","snapshot_observed_at":"2026-08-13T00:18:01.593626Z","submitted_at":"2024-04-30T20:59:53Z","title":"Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00196","snapshot_observed_at":"2026-08-12T10:17:41.628240Z","title":"Synthetic image verification in the era of generative ai: What works and what isn’t there yet","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.628240Z"},"links":{"cited_paper":"/paper/2405.00196","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:b966be28d8a6a8f4b3d1ad77415abcd80d10030618aae4387e5a573313fd64e6","observation_id":"7c4d2b80-066d-4e31-9107-01327877eb47","resolution":{"observed_at":"2026-08-12T10:17:41.628240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.633900Z","title":"Visualizing data using t-sne","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.633900Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:177b3d7a6ccbd329801b4f168b737a5caf4d5d54c6da7228f598552c07faf32e","observation_id":"f5730e03-e9fb-4c29-857e-358e809c0ab4","resolution":{"observed_at":"2026-08-12T10:17:41.633900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.440265Z","title":"Attention is all you need","venue":null,"work_id":"69753251-7bfd-4481-b8ab-cb70eb9e9ff3","year":2017},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.639342Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:36f577391adb7f7dc538492e28d69f425aa199de228a2a1ad386c1feea030908","observation_id":"f694664e-7b93-4c88-94d5-b8e146f1b71d","resolution":{"observed_at":"2026-08-12T10:17:42.445024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.424666Z","title":"Cnn-generated images are surprisingly easy to spot","venue":null,"work_id":"8c24f4eb-9b82-4524-8a42-e12aba2a100d","year":2020},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.644640Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:1a7a161ae26149aad32ecc47f34a9c21016053b0f73b7de5b4677b6e20476643","observation_id":"7a646593-cf88-4672-8c5c-ddbb3b326035","resolution":{"observed_at":"2026-08-12T10:17:42.429333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.409858Z","title":"Dire for diffusion-generated image detection","venue":null,"work_id":"da61a13a-8d8e-4930-985e-2e80e10a5b30","year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.649393Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:197b3932c5675434366ff6401348b035e543e0188dda74d13450d0b3cd347dd1","observation_id":"0f395f68-58cd-48dd-a024-de4e1dc01afd","resolution":{"observed_at":"2026-08-12T10:17:42.414454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07706","last_updated":"2023-04-25T17:29:15Z","snapshot_observed_at":"2026-07-06T13:21:17.244944Z","submitted_at":"2022-06-15T17:58:30Z","title":"Masked Frequency Modeling for Self-Supervised Visual Pre-Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07706","snapshot_observed_at":"2026-08-12T10:17:41.654417Z","title":"Masked frequency model- ing for self-supervised visual pre-training","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.654417Z"},"links":{"cited_paper":"/paper/2206.07706","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:f8e31ee81f35ecb0d142d6471b473a0c553118c8f32291e4fa5689542e4ff0c9","observation_id":"cb1605c5-5271-448c-96f6-095701d8802e","resolution":{"observed_at":"2026-08-12T10:17:41.654417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:41.658778Z","title":"Attngan: Fine- grained text to image generation with attentional generative adversarial networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.658778Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:cbe27fa787ccf1fcccda8a585f1cba68f7e0a167a61b1b9fff2f3e2668c3f2ab","observation_id":"1f608e40-498d-49e1-bd8c-25da2e7406cb","resolution":{"observed_at":"2026-08-12T10:17:41.658778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19435","last_updated":"2025-02-15T16:01:36Z","snapshot_observed_at":"2026-08-12T23:33:23.504985Z","submitted_at":"2024-06-27T17:59:49Z","title":"A Sanity Check for AI-generated Image Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19435","snapshot_observed_at":"2026-08-12T10:17:41.662951Z","title":"A sanity check for ai-generated image detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.662951Z"},"links":{"cited_paper":"/paper/2406.19435","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:22999db1693a7a17f4eab404ea4cd414f416f36d1a1adefabd352ce0c2be614a","observation_id":"68e7ae7a-36b6-4892-975f-2fda06a25de7","resolution":{"observed_at":"2026-08-12T10:17:41.662951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.384593Z","title":"Hiri-vit: Scaling vision transformer with high resolution inputs.IEEE Transactions on Pattern Analysis and Machine Intelligence,","venue":null,"work_id":"6831b943-5bb6-4d1e-a0c3-6ba89eb4f396","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.667715Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:93ac0bd63cf316f83ecff5bf39c9336d0750f6d88c938bd634604a923c334e2b","observation_id":"541fe9dd-f15b-4cdf-8c7f-5998791c146d","resolution":{"observed_at":"2026-08-12T10:17:42.389136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.07909","last_updated":"2024-11-08T06:19:33Z","snapshot_observed_at":"2026-08-09T15:37:28.200871Z","submitted_at":"2023-03-14T13:49:54Z","title":"Text-to-image Diffusion Models in Generative AI: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.07909","snapshot_observed_at":"2026-08-12T10:17:41.672149Z","title":"Text-to-image diffusion models in gener- ative ai: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.672149Z"},"links":{"cited_paper":"/paper/2303.07909","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:35c84911ae2fa7e482863fa1969c6944ee870dd89b5aced6cb5c946935d835c2","observation_id":"d6adf6a5-bfe3-4864-ba47-af4fb0e65434","resolution":{"observed_at":"2026-08-12T10:17:41.672149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12397","last_updated":"2024-03-07T14:26:32Z","snapshot_observed_at":"2026-08-13T05:20:39.456817Z","submitted_at":"2023-11-21T07:12:40Z","title":"PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12397","snapshot_observed_at":"2026-08-12T10:17:41.677924Z","title":"Patchcraft: Exploring texture patch for efficient ai-generated image detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.677924Z"},"links":{"cited_paper":"/paper/2311.12397","citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:e6296a4172030b6a9aa21fd6e976e1ac9c64f37bef0783b2d1411427ca0d0f8b","observation_id":"328ec331-b037-4d74-8213-04b2a5f85342","resolution":{"observed_at":"2026-08-12T10:17:41.677924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.369348Z","title":"Unpaired image-to-image translation using cycle- consistent adversarial networks","venue":null,"work_id":"20f40199-ee54-4dae-bb8a-3c30eb4f993d","year":2017},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.683768Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:785f2cc8fedc16eed4e437780a000c78fda7d99e553aeebbc63de844bb94187d","observation_id":"e6154ba6-af61-4333-839a-3661c239e72a","resolution":{"observed_at":"2026-08-12T10:17:42.374822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.353786Z","title":"Dm-gan: Dynamic memory generative adversarial networks for text- to-image synthesis","venue":null,"work_id":"5cee64bd-a571-47ca-96d4-f304f14d186e","year":2019},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.688157Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:b90176735d4ca22373f696f23ba64638d22e8a8f5ef8e7b0f79ba7c745e3ecc1","observation_id":"fd335c45-de5a-487f-a65d-e7c97dc22ee4","resolution":{"observed_at":"2026-08-12T10:17:42.358836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.337223Z","title":null,"venue":null,"work_id":"d9d143da-1489-41ed-a51d-0671f97e0c3e","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.692820Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:820d44cab89ddb4558ded3addfd5c1d3c4b58b3ad5faa8d67b141c50728cf26f","observation_id":"50aa9daa-dd00-4d75-b6af-86867c006d78","resolution":{"observed_at":"2026-08-12T10:17:42.343135Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.319835Z","title":"Runtime comparison between vision transformer’s self- attention and spectral context attention for different image resolu- tions","venue":null,"work_id":"f2f818b3-7faf-48d6-8524-c67bc6b15595","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.698491Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:9ac5ae25f75c0e6f6e1c42f14e84d718f6fa41da5eaa0cdfa18f46a7faf53a58","observation_id":"420710c6-8915-42b7-b6d2-6fe6ebabbc07","resolution":{"observed_at":"2026-08-12T10:17:42.324965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.304741Z","title":null,"venue":null,"work_id":"294a5098-1b1a-44df-a72e-9c66cfba4ddb","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.703575Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:dd94963d1a1a2c5be8353b3369f9403ff602c1e24c8116bb80a1ae9bfb2c33cf","observation_id":"2c5a9446-8b0c-4ba8-9203-c9d082c6ea26","resolution":{"observed_at":"2026-08-12T10:17:42.309139Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.288667Z","title":"We report the results across our test set of 5 sources of real images and 13 generative models in Tab","venue":null,"work_id":"d2d6bc14-184e-4d84-a1e9-e9dd1df200d6","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.708170Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:64aa6c3596b0c68de2c2ea5128fd93ca043fa4353d93a772b3305053463cb376","observation_id":"360085ba-5345-42ac-bb4d-13733c360380","resolution":{"observed_at":"2026-08-12T10:17:42.293500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.273067Z","title":null,"venue":null,"work_id":"18938809-15fd-42fd-83ac-f7aa11998f2f","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.713206Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:006485dedb16d9e3bbf19a2e4c77b3e563407b4f6ce3fef1d649eccefe81f385","observation_id":"8a91ecc7-75f3-41c1-97a3-3f4ace6fbd42","resolution":{"observed_at":"2026-08-12T10:17:42.277639Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.256710Z","title":"8 to 20 as well as for the 5 sources of real images in Figs","venue":null,"work_id":"b118f4d5-a215-4e4a-a29a-e9577e944555","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.718588Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:a660208dcb27373fa99d1e6a86be14b71a30547c606937112029c190b9fcaa49","observation_id":"3cfa561d-22f5-4912-ab74-404b092ed0f2","resolution":{"observed_at":"2026-08-12T10:17:42.261469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.239933Z","title":"3 Stable Diffusion 1.4 (a) SCV (b) SRS (c) SCA Stable Diffusion XL (a) SCV (b) SRS (c) SCA MidJourney-v5 (a) SCV (b) SRS (c) SCA Figure 7","venue":null,"work_id":"39e708d0-8eab-4f3c-bfa7-f3829e1ccfae","year":null},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.723374Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:25b5df64c70e3612d3831a25ee86e71673e12a334c5a1509c640f9788775c256","observation_id":"a1cd81d6-399e-407b-9208-5d0b2833c125","resolution":{"observed_at":"2026-08-12T10:17:42.246556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:17:42.712459Z","title":null,"venue":null,"work_id":"7a50af7f-7814-47d5-ac85-5c35c0216ee6","year":2024},"citing_paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T10:17:41.500257Z"},"links":{"citing_paper":"/paper/2411.19417"},"observation_digest":"sha256:39790208eaefdb9a3bb0723f552d5b28a41bc65777620036113366ed3f9c7c3a","observation_id":"79418bb7-9efa-4c84-a463-b0c73f78ac2d","resolution":{"observed_at":"2026-08-12T10:17:42.717422Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.19417","last_updated":"2025-03-30T19:41:30Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T13:30:10.216506Z","submitted_at":"2024-11-28T23:55:19Z","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning"},"reference_resolution":{"displayed":89,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":0,"verified_fuzzy":43},"total_outbound_references":89},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 1 inbound Pith citation observation for arXiv:2411.19417."}